PREFINAL | eth (39)

Bioethics

encompasses broader ethical concerns in biology, medicine, technology, and global health, including genetic engineering, AI, and environmental ethics.

Medical ethics

is primarily focused on patient care, doctor-patient relationships, and clinical decisions, such as informed consent, confidentiality, and end-of-life care.

Genetic Engineering and Cloning

refer to ethical concerns regarding modifying genes, designer babies, and cloning.

Example:

Scientists utilize gene editing to cure a hereditary disease while ensuring ethical oversight and transparency.

Biotechnology and Human Enhancement

refer to ethical dilemmas in using technology to enhance physical and cognitive abilities.

Example:

Athletes use gene therapy to enhance muscle growth, which raises concerns about fairness in sports.

Environmental Bioethics

refers to ethical responsibilities in genetic modification, biodiversity conservation, and sustainability.

Example:

Scientists develop drought-resistant crops to address food shortages while considering environmental impacts.

Animal Experimentation

balances scientific progress with the humane treatment of animals in research.

Example:

Researchers use alternative testing methods, such as lab-grown tissues, to reduce animal suffering.

Artificial Intelligence in Biological Research

refers to ethical concerns about AI’s role in decision-making and genetic analysis.

Example:

AI predicts disease risks based on genetic data, raising concerns about data privacy and consent.

Common Bioethical Issues

emerge as science and technology evolve, raising moral and societal concerns.

1. Genetic Engineering and Cloning

2. Biotechnology and Human Enhancement

3. Environmental Bioethics

4. Animal Experimentation

5. Artificial Intelligence in Biological Research

Medical ethics

is about the rules and principles doctors follow to make the right decisions in healthcare.

Hippocratic Oath

It also focuses on being kind, respecting patients' choices, and ensuring their safety. In general, medical ethics affirms that doctors make decisions with patients' well-being and fairness.

Hippocratic Oath

an ethical pledge that physicians make.

Autonomy

means patients have the right to make their own healthcare decisions.

Key Aspects:

• Securing informed consent before any procedure.

• Honoring a patient’s choice to accept or decline treatment.

• Ensuring patients have all relevant information to make decisions.

Example:

A 65-year-old patient refuses cancer surgery after understanding the risks. The doctor disagrees but respects the informed decision.

Beneficence

means acting in the best interest of the patient. It requires healthcare providers to take measures that promote well-being and contribute to the patient's health and recovery.

Key Aspects:

• Offering treatments that enhance patient health.

• Encouraging proactive and preventive healthcare measures.

• Assessing potential benefits and risks of medical interventions.

Example:

A doctor prescribes physical therapy for a stroke patient to improve mobility and quality of life.

Non-maleficence

is the principle of “do no harm”. Healthcare professionals must not cause unnecessary harm or suffering. They should carefully examine the risks and guarantee that treatments offer more benefits than harm.

Key Aspects:

• Avoiding unnecessary or excessive treatments.

• Reducing risks and potential side effects.

• Carefully weighing benefits against possible harm.

Example:

A doctor avoids prescribing a strong painkiller with severe side effects for mild pain and opts for a safer alternative instead.

Justice

in medical ethics means fairness in healthcare. It ensures all patients get equal treatment, regardless of background, financial status, or other factors.

Key Aspects:

• Ensuring a fair distribution of healthcare resources.

• Providing equal and unbiased treatment for all patients.

• Promoting accessibility to medical care for everyone.

Example:

A hospital provides the same quality treatment to all patients, regardless of their ability to pay or social status.

Four Pillars of Medical Ethics

provide a framework for ethical decision-making in medicine. These principles guide healthcare professionals in their daily activities and interactions with patients.

1. Autonomy

2. Beneficence

3. Non-maleficence

4. Justice

AI ethics

focuses on developing and using artificial intelligence in ways that complement human values and social responsibility.

To achieve ethical AI, stakeholders, such as developers, businesses, and policymakers, must establish guidelines that prioritize transparency, prevent misuse, and balance innovation with society's well- being.

Bias and Discrimination

AI systems can reinforce inequalities and disadvantage certain groups based on gender, ethnicity, or socioeconomic status.

Example:

Some Philippine companies use AI-powered hiring tools that favor applicants from wealthier backgrounds due to biased training data, which can limit opportunities for public university graduates and rural job seekers.

Privacy Violations

AI collects and analyzes numerous personal data, which raises concerns about surveillance and misuse.

Example:

Pasig City's Safe City Project employs CCTV and facial recognition to enhance safety, but it also sparks concerns over mass surveillance and data privacy.

Misinformation and Fake News

AI can generate misleading content, which may be used for political propaganda or deception.

Example:

AI-generated deepfakes and fake news may have influenced Philippine elections and social media discussions.

Job Displacement

Automation powered by AI reduces employment opportunities in certain industries.

Example:

AI-driven automation is transforming industries such as manufacturing and content creation, replacing human workers.

Lack of Transparency

AI systems often make decisions without clear explanations, which makes it difficult for people to understand why they were approved, rejected, or targeted.

Example:

A student applying for a scholarship online may face rejection by an AI system without knowing whether it was due to missing information, a system error, or bias.

Ethical Concerns in AI and Technology

1. Bias and Discrimination

2. Privacy Violations

3. Misinformation and Fake News

4. Job Displacement

5. Lack of Transparency

Student Roles in Advocating Ethical AI Practices

• Educating yourself on AI ethics and responsible technology use.

• Advocating for transparency in AI systems.

• Critically evaluating AI-generated content to prevent misinformation.

• Promoting fairness and inclusivity in AI systems and discussions.

• Engaging in AI ethics discussions in student groups or online communities.

Media

shape public opinion, influences culture, and delivers information.

Ethical standards

ensure that content is produced and shared responsibly.

Ethical communication

involves honesty, fairness, and accountability across media, journalism, and social platforms.

Truth and Accuracy

Information must be well-researched, accurate, and free from distortion to prevent misinformation and maintain credibility.

Example:

A news agency verifies multiple sources before publishing a report to ensure the content is correct and not misleading.

Fairness and Impartiality

Content should present multiple perspectives and avoid bias to ensure balanced, objective information.

Example:

A journalist interviews candidates from different political parties to give each an equal opportunity to present their views.

Privacy and Respect

Ethical communication respects individuals' privacy, especially in sensitive topics, and avoids exploitation.

Example:

A reporter covering a crime story withholds the victim’s personal details to protect their safety and dignity.

Transparency and Honesty

Disclosing sources, affiliations, and conflicts of interest establishes trust. Ethical communicators must also correct mistakes when necessary.

Example:

A social media influencer clearly states that a product review is paid sponsorship to ensure transparency.

Core Principles of Ethical Communication

1. Truth and Advocacy

2. Fairness and Impartiality

3. Privacy and Respect

4. Transparency and Honesty

Misinformation and Disinformation

False or misleading information distorts reality, causes harm, and erodes public trust.

Example:

Fake reports of celebrity deaths circulate online without verification.

Bias and Lack of Objectivity

Favoritism in reporting misleads audiences and reinforces division.

Example:

A news outlet consistently favors a political party, shaping public perception.

Privacy Violations

Unauthorized data collection and misuse raise concerns about surveillance and ethics.

Example:

Social media apps track user locations and sell data to advertisers.

Sensationalism and Clickbait

Exaggerated or misleading headlines sacrifice credibility for engagement.

Example:

A headline like “Shocking Truth About COVID-19!” misleads readers for engagement.

Manipulation and Misrepresentation

Framing stories or altering content to fit an agenda distorts the truth.

Example:

A deepfake video falsely portrays a politician saying something controversial.

Cyberbullying and Harassment

Online platforms amplify harmful behavior, affecting individuals’ well-being.

Example:

A public figure receives threats and harassment for expressing an opinion.

Exploiting Human Suffering

Using tragedies or sensitive content for views is unethical.

Example:

A journalist invades a grieving family’s privacy for an exclusive interview.

Ethical Issues in Communication and Media

• Misinformation and Disinformation

• Bias and Lack of Objectivity

• Privacy Violations

• Sensationalism and Clickbait

• Manipulation and Misrepresentation

• Cyberbullying and Harassment

• Exploiting Human Suffering